The Status of Noise Pollution in the Major Traffic Intersections of Khulna Metropolitan City in Bangladesh and its Possible Effect on Noise-Exposed People

2020 ◽  
Vol 1 (5) ◽  
Author(s):  
Aliza Sultana ◽  
Ashok Kumar Paul ◽  
Meher Un Nessa
Keyword(s):  
Noise Level ◽  
Noise Pollution ◽  
Pressure Level ◽  
Pollution Level ◽  
Metropolitan City ◽  
Mixed Area ◽  
Commercial Area ◽  
Significant Difference ◽  
Traffic Intersections ◽  
The Status

This study was conducted in the Khulna metropolitan city to determine the status of noise pollution at major traffic intersections and assess the possible effect of noise on regular noise afflicted people. For this research, five busiest roadways and traffic intersections; two mixed zone and three commercial zones were selected purposively and 'ST-8850 Sound Level Meter' was used to record the noise pressure level. Average noise pressure level and some noise parameters (Leq, L10, L50, L90, and Lnp) were measured at different shifts in each location both on working days and holidays. The result evidently specified that noise level in all major traffic circles of Khulna metropolitan city was much higher than the recommended threshold of acceptable noise level set by the Department of Environment (DOE) of Bangladesh. It was observed that the mixed area (Sonadanga, Gollamari) tends to have a higher average noise level than those of the commercial area (Shibbari, Notunrasta, Dakbangla). The noise pollution level (Lnp) in mixed areas varied from 92.77 dB (A) to 104.74 dB(A) on working days and 86.9 dB(A) to 105.5 dB(A) on holidays. On working days, the highest Leq was observed 92.65 ± 4.15 dB(A) in Sonadanga (mixed area), whereas the lowest was 85.13 ± 2.83 dB(A) in Dakbangla (commercial area). However, on holidays the highest level of Leq was found 90.41 ± 2.25 dB(A) in Sonadanga, while the lowest levels were 80.43 ± 3.20 dB(A) in Dakbangla. One-way ANOVA with LSD post-hoc test results illustrated that on working days there was a significant difference between the noise pollution levels (NPL) in different shifts of day time (F = 8.412, p < .05). The respondents of the study area addressed that they were the most affected by annoyance (70%), headache (62%), and hearing loss (46%) due to regular exposure to the traffic noise. Therefore, it is recommended to enhance awareness regarding the cause and effect of noise pollution among the noise producers and oppressed people. Subsequently, administrative measures have to take to attenuate noise pollution and indemnify the quality health of the citizens.

An Evaluation of Noise Pollution Level in Lucknow city, Uttar Pradesh

2020 ◽  
Vol 66 (1) ◽  
pp. 81-93
Author(s):  
Shweta Srivastava ◽  
◽  
Gayatri Rai ◽  
Keyword(s):  
Pollution Control ◽  
Noise Level ◽  
Graphical Representation ◽  
Uttar Pradesh ◽  
Noise Pollution ◽  
Pollution Level ◽  
Control Board ◽  
Sound Levels ◽  
The Status ◽  
Central Pollution Control Board

Noise is generally defined as the unwanted sound produced by various natural or man-made sources such as construction, industrial, transportation activities etc. Noise can have many adverse effects such as hearing impairment, sleep disturbance, interference with speech and communication, reduced performance, annoyance and harming physiological functions. In India, the permissible noise level for different areas is laid down by Central Pollution Control Board (CPCB). Lucknow city, one of the major urban centres of Uttar Pradesh, has a population around 28 lakh according to Census, 2011. This huge number of people contributes significantly in the increasing levels of noise and, therefore, creates an alarming state of noise pollution. This paper aims to study the growing noise level trends in the city, analyse the average sound levels to ascertain the status of ambient noise levels and recommend suitable preventive measures. The data used for substantiation has been drawn from the reports of Central Pollution Control Board (CPCB) and Uttar Pradesh Pollution Control Board (UPPCB). Microsoft Excel software has been used for tabulation and graphical representation of data while ArcGIS 10.3 software has been used for the cartographical representation.

Traffic Noise Pollution Assessment in Major RoadJunctions of Imphal City, Manipur (India)

2021 ◽  
Author(s):  
WAZIR ALAM ◽  
Ramtharmawi Nungate
Keyword(s):  
Noise Level ◽  
Noise Exposure ◽  
Traffic Noise ◽  
Pollution Assessment ◽  
Noise Pollution ◽  
Pollution Level ◽  
Night Time ◽  
Noise Mapping ◽  
Noise Parameters ◽  
Spatial Noise

Abstract Noise pollution assessment was carried out in selected traffic junctions of Imphal city of Manipur, India. The noise pollution assessment was carried out using noise parameters and indices such as L10, L50, L90, Leq for selected traffic junctions during the different periods of the day, i.e., morning, noon, and evening hours. The study of equivalent noise level (Leq), noise parameters, and various noise indices have enabled the evaluation of the overall traffic noise environment of the city. The traffic noise indices such as traffic noise index (TNI), noise climate (NC), traffic noise pollution level (LNP), noise exposure index (NEI) along with day time (LD), night time (LN) average, and day-night (Ldn) noise levels were assessed for the selected traffic junctions. Moreover, spatial noise mapping was carried out using the geostatistical interpolation technique to evaluate the changes of traffic noise scenarios during the different time zones of the day. The Leq values in few traffic junctions exceeded the required noise standards. The study shows equivalent noise level ranging between 52.2–69.9 dB(A) during the morning (7–10 am), 52.4–69.3 dB(A) during noon (12 noon-2 pm), and 54.6–71.1 dB(A) during the evening (4–7 pm) hours, respectively.

scholarly journals Noise Descriptors For Kota Metropolis, Rajasthan (India)

2021 ◽  
Vol 16 (1) ◽  
pp. 176-189
Author(s):  
Kuldeep Kuldeep ◽  
Sohil Sisodiya ◽  
Dr. Anil K. Mathur
Keyword(s):  
Noise Level ◽  
Noise Exposure ◽  
Noise Pollution ◽  
Pollution Level ◽  
Exposure Index ◽  
Noise Levels ◽  
Rapid Urbanization ◽  
High Noise ◽  
Sampling Locations ◽  
The City

The most common environmental concern in metropolitan cities worldwide is noise pollution. Kota metropolis (India) is also suffering from the problem of the increased noise level in the urban environment. Kota metropolis has been selected for the assessment of noise pollution. The main reasons behind the increasing level of noise in the city are increased population, rapid urbanization and industrialization, increased transportation facilities, urban development, construction and demolition works etc. The noise levels were recorded for day-time (6 am to 10 pm) as per Indian standard time for 96 days. Sixteen sampling points are made within the city depending upon the category of area/zone such as industrial, residential, silence and commercial. Six days were prescribed for each sampling location for noise level measurement. Noise descriptors such as Lmax, Lmin, L10, L50, L90, NC (noise climate), Lnp (noise pollution level), Leq (equivalent noise level), and NEI (noise exposure index) were computed with the observed data. Noise descriptors are very useful to indicate the physiological and psychological effects of noise pollution associated with noise levels. It makes regulating agency to take necessary actions in high noise areas for noise vulnerable groups such as Childs, old persons etc. Noise levels were recorded with the digital sound level meter " HTC SL-1350". Obtained equivalent noise levels were in between 65 dB(A) to 85 dB(A). The results were then compared with the WHO standards of community noise levels, and Indian noise pollution standards. It is noticed that the noise levels in all monitoring stations were well above the limits of the standards prescribed by the WHO and CPCB. Small variations in noise levels were observed for all sampling locations i.e. noise levels were almost similar at sampling locations. Noise levels were distinct in magnitude for morning and evenings hours. Noise Exposure Index (NEI) was greater than 1 which shows significant high noise levels in all the sampling locations. Kota metropolis desperately needs new strategies to reduces the high noise level in the city. Regulating agencies should take necessary action before things get out of control. Some immediate actions are suggested in the study.

scholarly journals STUDY OF NOISE ON PASSENGER CAR SPEED

ASTONJADRO ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 195
Author(s):  
Syaiful Syaiful ◽  
Almas Fathin Irbah
Keyword(s):  
Growth Rate ◽  
Public Transport ◽  
Noise Level ◽  
Noise Pollution ◽  
Sound Level ◽  
Pollution Level ◽  
The Road ◽  
The Government ◽  
Level Meter ◽  
Motorized Vehicles

<p>Bogor Regency has an economic growth rate including the highest among cities and other districts around the Jakarta Capital Region. Regarding the condition of the vehicle population in Bogor district, the number of motorized vehicles in 2017 and 2018 experienced a growth of between 2% and 12%. In contrast to the growth rate of vehicles, the road growth rate is only 0.1% per year. Nurul Hidayah Mosque is located on Jalan Salabenda, the object of the author's research to find out how much influence the sound of motorized vehicles has on worship activities around the Nurul Hidayah mosque. In public transport car speed, motorcycle speed, and private car speed do not have a significant effect on the noise pollution produced. The noise level around the Nurul Hidayah Mosque, Jalan Salabenda Raya, Bogor Regency which has been measured the smallest is 56.4 dBA. This value exceeds the noise threshold of the Noise Level Standard Value for the Ministerial Decree, which is 55 dBA. So that it requires attention and cooperation from the government and the community to overcome the noise in the worship area. The calculation and analysis obtained is on the equation with the largest R Square value on the fourth day of the study, the third point (Sound Level Meter 3), with a contribution of 22.67%. Like the equation on the side, y = 73.251 + 0.004x<sub>1</sub>-0.311x<sub>2</sub>-0.003x<sub>3</sub>. The meaning of this equation is that if there is no decrease in the speed of motorbikes, private cars and public transport cars, the noise pollution level in SLM3 is 73,251 dBA. If there is an increase in the speed of public transport cars by 0.004, the decrease of motorbikes by 0.311, and an increase in the speed of private cars by 0.003, the noise pollution level will decrease by 0.31 dBA at SLM3.</p>

scholarly journals Traffic Noise Assessment at Residential Areas in Skudai, Johor

2018 ◽  
Vol 34 ◽  
pp. 02024
Author(s):  
F.S. Sulaiman ◽  
N. Darus ◽  
N. Mashros ◽  
Z. Haron ◽  
K. Yahya
Keyword(s):  
Noise Level ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Traffic Volume ◽  
Sound Level ◽  
Pollution Level ◽  
Vehicle Speed ◽  
Residential Areas ◽  
Traffic Characteristics ◽  
Noise Assessment

Vehicles passing by on roadways in residential areas may produce unpleasant traffic noise that affects the residents. This paper presents the traffic noise assessment of three selected residential areas located in Skudai, Johor. The objectives of this study are to evaluate traffic characteristics at selected residential areas, determine related noise indices, and assess impact of traffic noise. Traffic characteristics such as daily traffic volume and vehicle speed were evaluated using automatic traffic counter (ATC). Meanwhile, noise indices like equivalent continuous sound pressure level (LAeq), noise level exceeded 10% (L10) and 90% (L90) of measurement time were determined using sound level meter (SLM). Besides that, traffic noise index (TNI) and noise pollution level (LNP) were calculated based on the measured noise indices. The results showed an increase in noise level of 60 to 70 dBA maximum due to increase in traffic volume. There was also a significant change in noise level of more than 70 dBA even though average vehicle speed did not vary significantly. Nevertheless, LAeq, TNI, and LNP values for all sites during daytime were lower than the maximum recommended levels. Thus, residents in the three studied areas were not affected in terms of quality of life and health.

scholarly journals Effects of COVID-19 pandemic on festival celebrations and noise pollution levels

Noise Mapping ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 89-93
Author(s):  
Komal Kalawapudi ◽  
Taruna Singh ◽  
Ritesh Vijay ◽  
Nitin Goyal ◽  
Rakesh Kumar
Keyword(s):  
Noise Level ◽  
Noise Pollution ◽  
Pollution Level ◽  
Noise Levels ◽  
Indian Culture ◽  
Pollution Levels ◽  
Level Data ◽  
New Guidelines ◽  
The City ◽  
Mumbai City

Abstract India is a country where every religion and community celebrates their culture. Festivals have an important role in Indian culture and are celebrated whole-heartedly by the citizens. Most of these celebrations culminate to causing pollution especially noise pollution due to festivities and rituals. One such festival is Ganesh Chaturthi or Ganeshotsav which is magnificently celebrated in Maharashtra state of India. In the present study, noise pollution levels during Ganeshotsav at famous community pandals in Mumbai city were monitored in the year 2020. Noise level data was analyzed based on indices such as L 10, L 50, L 90, noise pollution level (LNP ) and noise climate (NC). Comparison of noise levels was carried out for the collected data during Ganesh Chaturthi in the previous years of 2018 and 2019. The city witnessed simple festival celebration in eco-friendly manner leading to significant decrease in noise levels due to CoVID-19 pandemic. The pandemic situation is an eye-opener for the city administration with demonstration in reduction of noise pollution. Many aspects of the pandemic can be carried forward in making new guidelines and policies to curtail pollution and eco-friendly celebration of festivals.

scholarly journals A comprehensive evaluation of the level of noise pollution in hospitals of Kermanshah University of Medical Sciences

2018 ◽  
Vol 20 (2) ◽  
pp. 363-367
Keyword(s):  
Noise Level ◽  
Comprehensive Evaluation ◽  
Noise Pollution ◽  
Hospital Staff ◽  
Time Of Day ◽  
Sound Level ◽  
International Standards ◽  
Noise Levels ◽  
Significant Difference ◽  
Average Noise Level

Noise pollution higher than the standard values intensifies the patients' disease and also has negative effects on hospital staff. This study aimed to determine the level of noise pollution in the Kermanshah hospitals and also to compare obtained data with national and international standards. Multifunctional sound level meter (Model CEL – 450), has been applied for determining the sound level in different parts of a hospital in 3 different time of day (morning, visiting hours (evening), and night) for working day and holiday. The highest level was on working days and it was 60.24±5.76 dB. The average noise level on holiday was 58.15±5.44 dB. Generally, the average noise level in all studied hospitals was higher than the standard levels. The results of the analyses showed that when the P=0.003, there’s a significant difference between the average noise levels on different days. According to the results of the studies, it is necessary to plan and take managerial and technical – engineering measures to reduce the noise levels to standard levels.

scholarly journals Temporal and Spatial Fluctuation of Noise Levels in the Closed Vicinity of Urban Roadways

2019 ◽  
Vol 8 (3) ◽  
pp. 5983-5989 ◽  
Keyword(s):  
Noise Level ◽  
Weather Condition ◽  
Noise Pollution ◽  
Residential Area ◽  
Capital City ◽  
Noise Levels ◽  
Spatial Fluctuation ◽  
Commercial Area ◽  
Temporal And Spatial ◽  
Selected Location

Noise pollution is a very critical issue for a better quality of life in urban settings. This study has been conducted to investigate the temporal and spatial fluctuation of noise levels in the vicinity of urban roadways. A total of twelve sites have been covered, eight in residential area and four in commercial area for this study. The monitoring of noise levels in residential and commercial areas in the capital city of India, Delhi, has been carried out from 18th of July to 12th of August 2017 using Sound Level Meter (Larson & Davis 831). The monitoring has been done only on working days and in good weather condition as per standard procedure, special care has been taken to reduce the effects of wind. Temporal distribution shows that the noise level in morning at the residential area has been more than the prescribed standard and reached up to 84.8 dB (A) in comparison to the commercial areas which has been remains up to 79.46 dB (A). Spatial distribution revealed that the noise level at Ashram Chowk remains in the range of 75 to 80 dB (A) which is maximum in comparison to all other selected location of residential area followed by Moolchand which remains in the range of 70 to 75 dB (A). In commercial area the noise levels remain in the range of 65 to 70 dB (A) at Connaught Place outer Circle (CPOC), which is remain maximum among all selected location. The noise level exceeds the recommendation of CPCB at all eight locations of residential area and two locations of commercial area out of four. It can be concluded that the residential area near urban roadways remains more prone to noise pollution in comparison to commercial area. Planning and public knowledge about the long term noise risk may help in to relieve the noise risk in urban areas

scholarly journals Assessment of noise pollution and its perceived health risks on residents of Owerri Metropolis, Imo State, Nigeria

2021 ◽  
Vol 10 (2) ◽  
pp. 146-156
Author(s):  
Mbaegbu N. Okwudili ◽  
Ede A. Okorie ◽  
Oparaocha R ◽  
Orji S. Mercy ◽  
Opara, E. Chinedu ◽  
...  
Keyword(s):  
Health Risks ◽  
Noise Level ◽  
Health Hazard ◽  
Noise Pollution ◽  
Perceived Health ◽  
Pollution Level ◽  
Noise Levels ◽  
Imo State ◽  
Disturbed Sleep ◽  
The Mean

Noise pollution is recognized as a serious health hazard to individual and society at large. In most cities, noise pollution is regarded as the most hazardous form of pollution behind air and water pollution. This study was conducted to assess the noise pollution level and its perceived health risks on the residents of Owerri Metropolis, Imo State, Nigeria. Physical measurement of noise levels was carried out at 24 different locations; three locations from 15 different political wards were selected. Each location was assessed three times at three consecutive periods (7.30-8.30a.m., 11.30 a.m.-12.30 p.m. and 3.30 – 4.30 p.m.). Thereafter, the mean reading for each location and that of each ward were calculated. Also, 900 respondents comprising adults who live and/or operate in the Council were interviewed on the perceived health risks associated with noise, using structured and standardized questionnaire. The results obtained showed that the computed mean noise level at the 24 different locations ranged from 79.4 – 95.8dB, and the cumulative for the 8 wards ranged from 87.0 – 91.2dB, all of which were significantly (P<0.05) above the acceptable ranges of <80dB, for most of the areas surveyed, thereby rating the noise level unsatisfactory in each case as they were all within levels that can cause discomfort and pains in man. Perceived health risks enumerated by participants include; annoyance, lack of concentration, disturbed sleep, headache, hearing impairment and whistling and buzzing of the ear. The need for greater commitment by all agencies and organs involved to reduce this serious health hazard was highlighted.

scholarly journals Spatio-temporal Analysis of Noise Levels across Hotspot Areas in Port Harcourt Metropolis, Rivers State, Nigeria

2020 ◽  
pp. 30-40
Author(s):  
Bright Chika Ajoku ◽  
Odinaka Amadi- Wali
Keyword(s):  
Noise Level ◽  
Hot Spot ◽  
Main Tool ◽  
Noise Pollution ◽  
T Test ◽  
Noise Levels ◽  
Statistical Significant Difference ◽  
Port Harcourt ◽  
Significant Difference ◽  
Rivers State

This study examined spatial and temporal variations of noise levels across hot spot areas in Port Harcourt metropolis, Rivers State Nigeria. It employed a quasi-experimental design. The noise level was captured using Mobile Application known as decibel (dB) X in infinix note 3 android smart phone, which was calibrated with a digital noise meter SET 1350, with a measuring level range of 20–120 decibel while the sampling points were captured with the use of handheld Global Positioning System (GPS) Garmin 78sc which was calibrated to UTM zone 32N. The Geographic Information System (GIS) was the main tool in manipulating surface prediction modeling Inverse Distance Weighting (IDW) in the morning and evening noise levels using Environmental Science Research Institute’s (ESRI) software ArcGIS 10.4 version. In the twelve areas investigated, two sample points were captured in each, making a total of twenty four points. Analyses  was done using ANOVA and t-test for the hypotheses and the finding of the results in mean noise levels in the morning and evening indicate that there were no statistical significant difference in the noise level as P =.89 and P =.124 respectively while the t-test indicates statistical significant difference in the majority of the hotspot areas. Therefore, hypotheses of significant mean noise levels were accepted. The finding of the IDW reveals that noise pollution occurs in the morning than in the evening periods in most areas, as they exceed the allowable noise limit of WHO standard is 85 dB (A). Based on the findings, the study recommended among others: that noise pollution planning controls should not be compromised but operates at higher dimension through planting of trees and monitoring in order to ensure strict compliance.

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